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Reseach Article

A Smart Image Processing-based System for Parking Space Vacancy Management

by Benjamin Kommey, Ernest O. Addo, Andrew S. Agbemenu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 5
Year of Publication: 2018
Authors: Benjamin Kommey, Ernest O. Addo, Andrew S. Agbemenu
10.5120/ijca2018917540

Benjamin Kommey, Ernest O. Addo, Andrew S. Agbemenu . A Smart Image Processing-based System for Parking Space Vacancy Management. International Journal of Computer Applications. 182, 5 ( Jul 2018), 1-6. DOI=10.5120/ijca2018917540

@article{ 10.5120/ijca2018917540,
author = { Benjamin Kommey, Ernest O. Addo, Andrew S. Agbemenu },
title = { A Smart Image Processing-based System for Parking Space Vacancy Management },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2018 },
volume = { 182 },
number = { 5 },
month = { Jul },
year = { 2018 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number5/29755-2018917540/ },
doi = { 10.5120/ijca2018917540 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:10:25.668403+05:30
%A Benjamin Kommey
%A Ernest O. Addo
%A Andrew S. Agbemenu
%T A Smart Image Processing-based System for Parking Space Vacancy Management
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 5
%P 1-6
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Drivers often encounter problems associated with locating empty parking slots in parking areas. This paper presents a smart parking lot management system which operates using image processing. An image processing algorithm is used to detect empty parking areas from aerial images of the parking space. The algorithm processes the image, extracts occupancy information concerning spots, and their positions thereof. The system also reports if individual parking spots are occupied or otherwise. Occupancy information is made available to newly arriving drivers by projecting it unto large displays positioned at vantage points near the vicinity. The smart parking lot management system reduces the stress and time wastage associated with car parking and makes management of such areas less costly.

References
  1. A. S. Agbemenu, J. Yankey, and E. O. Addo. An automatic number plate recognition system using opencv and tesseract ocr engine. International Journal of Computer Applications, 180:1-5, 2018.
  2. J. P. Benson, T. O Donovan, P. O Sullivan, U. Roedig, and C. Sreenan. Car-park management using wireless sensor networks. In 31st IEEE Conf. Local Computer Networks, pages 588-595, 2006.
  3. M. Caliskan, D. Graupner, and M. Mauve. Decentralized discovery of free parking places. In VANET 06: 3rd international workshop on Vehicular ad hoc networks, pages 30-39, 2006.
  4. S. C. Hanche, P. Munot, P. Bagal, K. Sonawane, and P. Pooja. Automated vehicle parking system using rfid. International Journal on Research and Development, 1:89-92, 2013.
  5. Y. Hirakata, A. Nakamura, K. Ohno, and M. Itami. Navigation system using zigbee wireless sensor network for parking. In 12th International Conference on ITS Telecommunications, pages 605-609, 2012.
  6. T. Huang, Z. Zeng, and C. Li. Design and implementation of a prototype smart parking (spark) system using wireless sensor networks. In International Conference on Neural Information Processing, pages 506-515, 2012.
  7. A. Kianpisheh, N. Mustaffa, P. Limtrairut, and P. Keikhosrokiani. Smart parking system (sps) architecture using ultrasonic detector. International Journal of Software Engineering and Its Applications, 6:55-58, 2012.
  8. Z. Pala and N. Inanc. Implementation of rfid technology in parking lot access control system. In 12th International Conference on ITS Telecommunications, pages 1-3, 2007.
  9. R. Panayappan, J. M. Trivedi, A. Studer, and A. Perrig. Vanetbased approach for parking space availability. In VANET 07: Fourth ACM International Workshop on Vehicular Ad-Hoc Network, pages 75-76, 2007.
  10. S. Srikanth, P. Pramod, K. Dileep, S. Tapas, M. U. Patil, and C. B. N. Sarat. Design and implementation of a prototype smart parking (spark) system using wireless sensor networks. In International Conference on Advanced Information Networking and Applications Workshops, pages 401-406, 2009.
  11. S. Srikurinji, U. Prema, S. Sathya, and P. Manivannan. Smart parking system architecture using infrared detector. International Journal of Advanced Information and Communication Technology, 2:1113-1116, 2016.
  12. D. Teodorovic and P. Lucic. Intelligent parking systems. European Journal of Operational Research, 175:16661681, 2006.
  13. J. Wolff, T. Heuer, H. Gao, M. Weinmann, S. Voit, and U. Hartmann. Parking monitor system based on magnetic eld sensors. In IEEE Conference on Intelligent Transportation Systems, pages 1275-1279, 2006.
  14. G. Yan, S. Olariu, M. C. Weigle, and M. Abuelela. Smartparking: A secure and intelligent parking system using notice. In 11th International IEEE Conference on Intelligent Transportation Systems, pages 569-574, 2008.
  15. H. Zhao, L. Lu, C. Song, and Y. Wui. Ipark: Locationaware- based intelligent parking guidance over infrastructureless vanets. International Journal of Distributed Sensor Networks, 2012:1-2, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Edge Detection Morphological Dilation WiFi ROI FOV